text: # Copyright (c) 2019 Horizon Robotics. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  """Various function/classes related to loss computation."""
  
  import gin
  import torch
  
  
  @gin.configurable
  def element_wise_huber_loss(x, y):
      """Elementwise Huber loss.
  
      Args:
          x (Tensor): label
          y (Tensor): prediction
      Returns:
          loss (Tensor)
      """
      loss = torch.nn.SmoothL1Loss(reduction="none")
      return loss(y, x)
  
  
  @gin.configurable
  def element_wise_squared_loss(x, y):
      """Elementwise squared loss.
  
      Args:
          x (Tensor): label
          y (Tensor): prediction
      Returns:
          loss (Tensor)
      """
      loss = torch.nn.MSELoss(reduction="none")
      return loss(y, x)
  